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Dataset Title:  Obs-AMSRE model output prepared for obs4MIPs NASA-JPL observation Subscribe RSS
Institution:  Remote Sensing Systems   (Dataset ID: nasa_jpl_e1b2_3228_f482)
Information:  Summary ? | License ? | FGDC | ISO 19115 | Metadata | Background (external link) | Make a graph
Dimensions ? Start ? Stride ? Stop ?  Size ?    Spacing ?
 time (UTC) ?      103    30 days 10h 42m 21s (uneven)
  < slider >
 latitude (degrees_north) ?      180    1.0 (even)
  < slider >
 longitude (degrees_east) ?      360    1.0 (even)
  < slider >
Grid Variables (which always also download all of the dimension variables)
 tos (Sea Surface Temperature, K) ?

File type: (more info)

(Documentation / Bypass this form) ?
(Please be patient. It may take a while to get the data.)


The Dataset Attribute Structure (.das) for this Dataset

Attributes {
  time {
    String _CoordinateAxisType "Time";
    Float64 actual_range 1.0241856e+9, 1.2925008e+9;
    String axis "T";
    String calendar "standard";
    String ioos_category "Time";
    String long_name "Time";
    String standard_name "time";
    String time_origin "01-JAN-1970 00:00:00";
    String units "seconds since 1970-01-01T00:00:00Z";
  latitude {
    String _CoordinateAxisType "Lat";
    Float64 actual_range -89.5, 89.5;
    String axis "Y";
    String ioos_category "Location";
    String long_name "Latitude";
    String standard_name "latitude";
    String units "degrees_north";
  longitude {
    String _CoordinateAxisType "Lon";
    Float64 actual_range 1.0, 360.0;
    String axis "X";
    String ioos_category "Location";
    String long_name "Longitude";
    String standard_name "longitude";
    String units "degrees_east";
  tos {
    Float32 _FillValue 1.0e+20;
    String associated_files "baseURL: gridspecFile: areacello:";
    String cell_measures "area: areacello";
    String cell_methods "time: mean";
    Float64 colorBarMaximum 305.0;
    Float64 colorBarMinimum 273.0;
    String comment "this may differ from \"surface temperature\" in regions of sea ice.";
    String history "2011-10-25T18:51:27Z altered by CMOR: Converted type from 'd' to 'f'.";
    String ioos_category "Temperature";
    String long_name "Sea Surface Temperature";
    Float32 missing_value 1.0e+20;
    String standard_name "sea_surface_temperature";
    String units "K";
    String cdm_data_type "Grid";
    String cmor_version "2.5.3";
    String contact "";
    String Conventions "CF-1.6, COARDS, ACDD-1.3";
    String creator_email "";
    String creator_name "Remote Sensing Systems";
    String creator_url "";
    String data_structure "grid";
    Float64 Easternmost_Easting 360.0;
    String experiment_id "obs";
    String frequency "mon";
    Float64 geospatial_lat_max 89.5;
    Float64 geospatial_lat_min -89.5;
    Float64 geospatial_lat_resolution 1.0;
    String geospatial_lat_units "degrees_north";
    Float64 geospatial_lon_max 360.0;
    Float64 geospatial_lon_min 1.0;
    Float64 geospatial_lon_resolution 1.0;
    String geospatial_lon_units "degrees_east";
    String history 
"2011-10-25T18:51:27Z CMOR rewrote data to comply with CF standards and obs4MIPs requirements.
    String infoUrl "";
    String institute_id "REMSS";
    String institution "Remote Sensing Systems";
    String instrument "AMSRE";
    String keywords "advanced, amsr, amsr-e, amsre, data, Earth Science > Oceans > Ocean Temperature > Sea Surface Temperature, eos, intercomparisons, jet, jpl, laboratory, microwave, model, msr, nasa, nasa-jpl, obs, obs-amsre, obs4mips, observation, observations, ocean, oceans, output, prepared, propulsion, radiometer, remote, scanning, sea, sea_surface_temperature, sensing, sst, surface, systems, temperature, time, tos";
    String keywords_vocabulary "GCMD Science Keywords";
    String license 
"The data may be used and redistributed for free but is not intended
for legal use, since it may contain inaccuracies. Neither the data
Contributor, ERD, NOAA, nor the United States Government, nor any
of their employees or contractors, makes any warranty, express or
implied, including warranties of merchantability and fitness for a
particular purpose, or assumes any legal liability for the accuracy,
completeness, or usefulness, of this information.";
    String mip_specs "CMIP5";
    String model_id "Obs-AMSRE";
    String modeling_realm "ocean";
    Float64 Northernmost_Northing 89.5;
    String obs_project "AMSRE";
    String processing_level "L3";
    String processing_version "v7";
    String product "observations";
    String project_id "obs4MIPs";
    String realm "ocean";
    String source "Sea Surface Temperature from AMSR-E onboard AQUA.";
    String source_id "AMSRE";
    String source_type "satellite_retrieval";
    String sourceUrl "";
    Float64 Southernmost_Northing -89.5;
    String standard_name_vocabulary "CF Standard Name Table v55";
    String summary "Obs-Advanced Microwave Scanning Radiometer on EOS (AMSRE) model output prepared for Observations for Model Intercomparisons (obs4MIPs) NASA-Jet Propulsion Laboratory (JPL) observation (AMSRE L3 Sea Surface Temperature (SST) 1DEG 1MO)";
    String table_id "Table Omon_obs (31 January 2011) 3852a2b3aff8bddd40fa764d07bb2bdb";
    String time_coverage_end "2010-12-16T12:00:00Z";
    String time_coverage_start "2002-06-16T00:00:00Z";
    String title "Obs-AMSRE model output prepared for obs4MIPs NASA-JPL observation";
    String tracking_id "2e41e817-3a79-485a-8336-7993544aee62";
    Float64 Westernmost_Easting 1.0;


Using griddap to Request Data and Graphs from Gridded Datasets

griddap lets you request a data subset, graph, or map from a gridded dataset (for example, sea surface temperature data from a satellite), via a specially formed URL. griddap uses the OPeNDAP (external link) Data Access Protocol (DAP) (external link) and its projection constraints (external link).

The URL specifies what you want: the dataset, a description of the graph or the subset of the data, and the file type for the response.

griddap request URLs must be in the form{?query}
For example,[(2002-06-01T09:00:00Z)][(-89.99):1000:(89.99)][(-179.99):1000:(180.0)]
Thus, the query is often a data variable name (e.g., analysed_sst), followed by [(start):stride:(stop)] (or a shorter variation of that) for each of the variable's dimensions (for example, [time][latitude][longitude]).

For details, see the griddap Documentation.

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